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📄 output.3deceptive.90.log

📁 贝叶斯优化算法是一种新的演化算法
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===============================================
 Simple Bayesian Optimization Algorithm in C++
 Version 1.0 (Released in March 1999)
 Copyright (c) 1999 Martin Pelikan
 Author: Martin Pelikan
-----------------------------------------------
 Parameter values from: input.3deceptive.90
===============================================

Parameter Values:

Description                                                Identifier                 Type       Value
----------------------------------------------------------------------------------------------------------------
Size of the population                                     populationSize             long       3800
The number of parents to select (% from population)        parentsPercentage          float      50.000000
Size of offspring to create (% from population)            offspringPercentage        float      50.000000

Number of fitness function to use                          fitnessFunction            int        0 (Fitness-3 DECEPTIVE)
Size of the problem (of one dimension)                     problemSize                int        90

Maximal Number of Generations to Perform                   maxNumberOfGenerations     long       80
Maximal Number of Fitness Calls (-1 when unbounded)        maxFitnessCalls            long       -1
Termination threshold for the univ. freq. (-1 is ignore)   epsilon                    float      0.010000
Stop if the optimum was found?                             stopWhenFoundOptimum       char       0 (No)
Percentage of opt. & nonopt. ind. threshold (-1 is ignore) maxOptimal                 float      -1.000000

Maximal number of incoming edges in dep. graph for the BOA maxIncoming                int        2

Wait for enter after printing out generation statistics?   pause                      char       0

Output file name                                           outputFile                 char*      output.3deceptive.90
Threshold for guidance (closeness to 0,1)                  guidanceThreshold          float      0.300000

Random Seed                                                randSeed                   long       123
--------------------------------------------------------
Generation                   : 0
Fitness evaluations          : 3800
Fitness (max/avg/min)        : (23.899996 16.147211 8.100000)
Percentage of optima in pop. : 0.00
Population bias              : ..........................................................................................
Best solution in the pop.    : 000011100100001001000001010000010111000111001000100010100010001010111100111110010001100111
--------------------------------------------------------
Generation                   : 1
Fitness evaluations          : 5700
Fitness (max/avg/min)        : (25.399996 17.704263 8.500000)
Percentage of optima in pop. : 0.00
Population bias              : ..........................................................................................
Best solution in the pop.    : 100100010111000100111001100111010111111100001111000001100010000111000111001000001010011000
--------------------------------------------------------
Generation                   : 2
Fitness evaluations          : 7600
Fitness (max/avg/min)        : (25.599995 18.937578 11.000001)
Percentage of optima in pop. : 0.00
Population bias              : ..........................................................................................
Best solution in the pop.    : 100000000000010000010100000111010100010000100010010111111100001010000100001001001100000111
--------------------------------------------------------
Generation                   : 3
Fitness evaluations          : 9500
Fitness (max/avg/min)        : (25.799995 20.167919 13.999999)
Percentage of optima in pop. : 0.00
Population bias              : ..........................................................................................
Best solution in the pop.    : 111111100010010100000100010001010000010100000000111100000100111100010001001000010111001111
--------------------------------------------------------
Generation                   : 4
Fitness evaluations          : 11400
Fitness (max/avg/min)        : (26.799995 21.345603 14.100001)
Percentage of optima in pop. : 0.00
Population bias              : ..........................................................................................
Best solution in the pop.    : 111001111100010010010010010000000111111010000111111000010001111111100000001111111010000111
--------------------------------------------------------
Generation                   : 5
Fitness evaluations          : 13300
Fitness (max/avg/min)        : (26.799995 22.536155 16.300001)
Percentage of optima in pop. : 0.00
Population bias              : ..........................................................................................
Best solution in the pop.    : 111001111100010010010010010000000111111010000111111000010001111111100000001111111010000111
--------------------------------------------------------
Generation                   : 6
Fitness evaluations          : 15200
Fitness (max/avg/min)        : (27.299997 23.593207 18.000000)
Percentage of optima in pop. : 0.00
Population bias              : ..........................................................................................
Best solution in the pop.    : 000000000100010111100001111111111000001111000100100111111000000000000111111000000111111010
--------------------------------------------------------
Generation                   : 7
Fitness evaluations          : 17100
Fitness (max/avg/min)        : (27.699997 24.498207 19.199999)
Percentage of optima in pop. : 0.00
Population bias              : ..........................................................................................
Best solution in the pop.    : 000111111010111111001010000111010001111111000010111111111111111000000010111010000111111000
--------------------------------------------------------
Generation                   : 8
Fitness evaluations          : 19000
Fitness (max/avg/min)        : (27.699997 25.287601 21.099997)
Percentage of optima in pop. : 0.00
Population bias              : ..........................................................................................
Best solution in the pop.    : 000111111010111111001010000111010001111111000010111111111111111000000010111010000111111000
--------------------------------------------------------
Generation                   : 9
Fitness evaluations          : 20900
Fitness (max/avg/min)        : (28.099997 25.950838 22.499998)
Percentage of optima in pop. : 0.00
Population bias              : ..........................................................................................
Best solution in the pop.    : 000111000111000111111111100111111111100111111000000111001111001010000111111111100000111111
--------------------------------------------------------
Generation                   : 10
Fitness evaluations          : 22800
Fitness (max/avg/min)        : (28.099997 26.469917 24.299997)
Percentage of optima in pop. : 0.00
Population bias              : ..........................................................................................
Best solution in the pop.    : 000111000111000111111111100111111111100111111000000111001111001010000111111111100000111111
--------------------------------------------------------
Generation                   : 11
Fitness evaluations          : 24700
Fitness (max/avg/min)        : (28.399998 26.858548 24.699995)
Percentage of optima in pop. : 0.00
Population bias              : ..........................................................................................
Best solution in the pop.    : 111111111111000111000111100100111010111111111111100111111111111111001111111010000111111000
--------------------------------------------------------
Generation                   : 12
Fitness evaluations          : 26600
Fitness (max/avg/min)        : (28.499998 27.176364 25.399992)
Percentage of optima in pop. : 0.00
Population bias              : ..........................................................................................
Best solution in the pop.    : 111111001000111111000111111111111000100111000111111111111111000111000111111000001010111111

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